Traditionally, computer graphics has focused on the realistic
representation of an objective point of view, while the visual
arts have been concerned with a personal expression of a subjective
point of view. To bridge the divide, new algorithms for the artistic
rendering of images need to be explored. In place of visual fidelity,
the diversity of visually meaningful rendering styles is proposed
as the measure of success for automated nonphotorealistic rendering
techniques. The aim is to empower the artist to adapt the medium
to suit the message.

The process starts with a template image which may be annotated
to reflect the artist's intentions. The typical artistic image
rendering framework first extracts the salient image features
to drive a sampling algorithm. A mark, such as a brush stroke,
is placed at each sample point and its size, orientation, shape,
color, and texture are determined so as to locally reflect the
template image while achieving the desired overall visual effect.
Finally, the rendered image is created by compositing the individual
marks.

Along with a review of artistic image rendering techniques, the
seminar will present some early results of my own experiments.
This method models the spatial relationships between neighboring
sample points using a proximity graph, such as a Delaunay triangulation.
Simple tiling, shading, and texturing procedures give rise to
a wide variety of effects reminiscent of a stained glass panel,
an inlay mosaic, a chalk sketch, or a sponge painting. The resulting
multiresolution image representation is well suited to applications
such as progressive image transmission and video transitions.